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Multi-Objective Optimization of Short-Inverted Transport Scheduling Strategy Based on Road–Railway Intermodal Transport

Author

Listed:
  • Dudu Guo

    (School of Transportation Engineering, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure, Xinjiang University, Urumqi 830017, China)

  • Yinuo Su

    (School of Business, Xinjiang University, Urumqi 830017, China)

  • Xiaojiang Zhang

    (Xinjiang Xinte Energy Logistics Co., Urumqi 830017, China)

  • Zhen Yang

    (Xinjiang Hualing Logistics & Distribution Co., Urumqi 830017, China)

  • Pengbin Duan

    (School of Business, Xinjiang University, Urumqi 830017, China)

Abstract

This study focuses on the ‘short-inverted transportation’ scenario of intermodal transport. It proposes a vehicle unloading reservation mechanism to optimize the point-of-demand scheduling system for the inefficiency of transport due to the complexity and uncertainty of the scheduling strategy. This paper establishes a scheduling strategy optimization model to minimize the cost of short backhaul and obtain the shortest delivery time window and designs a hybrid NSGWO algorithm suitable for multi-objective optimization to solve the problem. The algorithm incorporates the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm based on the Grey Wolf Optimizer (GWO) algorithm, compensating for a single algorithm’s premature convergence. The experiment selects a logistics carrier’s actual road–rail intermodal short-inverted data and compares and verifies the above data. The results show that the scheduling scheme obtained by this algorithm can save 41.01% of the transport cost and shorten the total delivery time by 46.94% compared with the original scheme, which can effectively protect the enterprise’s economic benefits while achieving timely delivery. At the same time, the optimized scheduling plan resulted in a lower number of transport vehicles, which positively impacted the sustainability of green logistics.

Suggested Citation

  • Dudu Guo & Yinuo Su & Xiaojiang Zhang & Zhen Yang & Pengbin Duan, 2024. "Multi-Objective Optimization of Short-Inverted Transport Scheduling Strategy Based on Road–Railway Intermodal Transport," Sustainability, MDPI, vol. 16(15), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6310-:d:1441379
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    References listed on IDEAS

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